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在真核生物中V9超变域的基因内多样性对元编码几乎没有影响
Olga Flegontova1,2, Julius Lukeš1,3, Aleš Horák1,3
1Institute of Parasitology, Biology Centre, Czech Academy of Sciences, České Budějovice, Czech Republic.
iScience
|August 9, 2023
概括
由于基因内变异性和测序错误,元编码研究可能会高估微生物多样性. 像DADA2这样的Denoising工具提高了准确性,而SWARM可能会膨胀多样性估计,特别是在某些真核生物群体.
科学领域:
- 微生物生态学 微生物生态学
- 分子生物学分子生物学
- 生物信息学是一种生物信息学.
背景情况:
- 元编码是评估微生物多样性和生态作用的强大工具.
- 在分子条形码中的基因内变异性可以在元条形码研究中引入偏差.
- 18S rRNA基因的V9区域通常用于真核生物的元编码.
研究的目的:
- 为了比较V9 18S rRNA基因区域在19个真核生物群中的基因内变异性.
- 评估测序错误和算法选择对多样性估计的影响.
- 为了识别元编码数据分析中的潜在偏差.
主要方法:
- 从海洋浮游生物中分析V9 18SrRNA基因序列中的基因内变异性.
- 使用无声化工具 (DADA2) 和聚类算法 (SWARM) 进行序列数据的比较.
- 测量序列错误率及其对观测到的多样性的贡献.
主要成果:
- V9区域的基因内变异性通常很低,并且可以在真核生物群中进行比较.
- 一个单一的V9序列和操作分类单元 (OTU) 在大多数基因组和转录组中占主导地位.
- 序列错误对条码级别的变化有很大贡献,通过DADA2无声化有效地减少了这种变化.
- SWARM算法倾向于通过将真实和错误的序列相结合来高估多样性.
- 与其他真核生物相比,SWARM显示eupelagonemids的多样性膨胀不成比例地高.
结论:
- 像DADA2这样的Denoising工具对于通过减轻序列错误来实现准确的元编码至关重要.
- SWARM算法的局限性可能导致metabarcoding数据集中的多样性估计被夸大.
- 对于可靠的微生物多样性评估,需要仔细考虑生物信息管道.
- 需要进一步的研究,以了解SWARM对eupelagonemid多样性的具体影响.
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